Book ChapterDOI
Detection of DDOS Attacks Using Machine Learning Techniques: A Hybrid Approach
TLDR
In this paper, a hybrid algorithm which consists of a combination of several machine learning techniques to train a model which can be used to detect and classify the type of DDoS attack with greater accuracy than that of each individual machine learning technique used in the hybrid model.Abstract:
The essential advantage of cloud computing is that it flexibly scales to fulfill various needs and it provides the sufficient environment that scales up and downsizes quickly as indicated by the interest, so it needs incredible security from DDoS attack to handle vacation impacts of DDoS attacks. Circulate DoS assaults fall on the classification of basic assaults that bargain the accessibility of the system. These assaults have gotten refined and keep on developing at a quick pace so to identify and to take down these assaults have had become a difficult undertaking. In this project, we have designed a hybrid algorithm which consists of a combination of several machine learning techniques to train a model which can be used to detect and classify the type of DDoS attack with greater accuracy than that of each individual machine learning technique used in the hybrid model.read more
Citations
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Journal ArticleDOI
An efficient SVM based DEHO classifier to detect DDoS attack in cloud computing environment
TL;DR: In this paper , the authors proposed a security algorithm against DDoS attacks by employing four significant phases namely the database training phase, data pre-processing phase, feature selection phase and classification phase.
Journal ArticleDOI
Distributed denial-of-service attack detection for smart grid wide area measurement system: A hybrid machine learning technique
A K M Ahasan Habib,Mohammad Kamrul Hasan,Rosilah Hassan,Shayla Islam,Rahul Thakkar,Nguyen Qui Tu Vo +5 more
TL;DR: In this article , a machine learning-based hybrid technique was proposed for DDoS attack detection in WAMS, which achieved an accuracy of 83.23% with the help of a Python compiler.
Journal ArticleDOI
DDoS: Distributed denial of service attack in communication standard vulnerabilities in smart grid applications and cyber security with recent developments
Mohammad Kamrul Hasan,A K M Ahasan Habib,Shayla Islam,Nur Dayana Fadzlin Mohamad Safie,Siti Norul Huda Binti Sheikh Abdullah,Bishwajeet Pandey +5 more
TL;DR: In this paper , the authors investigate smart grid cyber security systems and the communication vulnerabilities of other communication protocols and examine a new hybrid machine learning-based distributed denial of service attack detection technique for a sustainable smart grid system.
References
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Posted Content
A Survey on Detecting Application Layer DDoS Using Big Data Technologies
TL;DR: In this paper, the authors used the swarm queries to detect and segregate the application layer attacks and found that the current techniques presently used to counter them mainly use neural networks and machine learning.
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